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- Paschen, Jeannette, 1974-, et al.
(författare)
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Unpacking artificial intelligence – How the building blocks of artificial intelligence (AI) contribute to creating market knowledge from big data
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Annan publikation (övrigt vetenskapligt/konstnärligt)abstract
- Purpose:This study explains artificial intelligence (AI) and its contributions to creating market knowledge from big data. Specifically, this study describes the foundational building blocks of any AI technology, their interrelationships and the implications of different building blocks with respect to creating market knowledge, along with illustrative examples. Design/methodology/approach:The study is conceptual and proposes a framework to explicate the phenomenon AI and its building blocks. It further provides a model of how AI contributes to creating market knowledge from big data. Findings:The study explains AI from an input–processes–output lens and explicates the six foundational building blocks of AI. It discusses how the use of different building blocks transforms data into information and knowledge. It proposes a conceptual model to explicate the role of AI in creating market knowledge and suggests avenues for future research. Practical implications:This study explains the phenomenon artificial intelligence, how it works and its relevance for creating market knowledge for B2B firms. Originality/value:The study contributes to the literature on market knowledge and addresses calls for more scholarly research to understand AI and its implication for creating market knowledge.
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| 2. |
- Whittaker, Lucas, et al.
(författare)
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"All Around Me Are Synthetic Faces" : The Mad World of AI-Generated Media
- 2020
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Ingår i: IT Professional Magazine. - : Institute of Electrical and Electronics Engineers (IEEE). - 1520-9202 .- 1941-045X. ; 22:5, s. 90-99
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Tidskriftsartikel (refereegranskat)abstract
- Advances in artificial intelligence and deep neural networks have led to a rise in synthetic media, i.e., automatically and artificially generated or manipulated photo, audio, and video content. Synthetic media today is highly believable and "true to life"; so much so that we will no longer be able to trust what we see or hear is unadulterated and genuine. Among the different forms of synthetic media, the most concerning forms are deepfakes and general adversarial networks (GANs). For IT professionals, it is important to understand what these new phenomena are. In this article, we explain what deepfakes and GANs are, how they work and discuss the threats and opportunities resulting from these forms of synthetic media.
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